Computer Vision Intern

3 Months ago • All levels • $60,000 PA - $96,000 PA

Job Summary

Job Description

Reality Defender offers advanced AI-generated media detection solutions to combat fraud, disinformation, and deepfakes in real time. This role involves investigating new methods for generative image/video detection, collaborating with researchers, performing deepfake research, and documenting findings for reports and academic publications. The intern will implement and evaluate ideas using Python, PyTorch, and cloud computing platforms like AWS/GCP. The company is a Y Combinator graduate, Comcast NBCUniversal LIFT Labs alumni, and backed by DCVC, pioneering multi-modal and multi-model detection of AI-generated media with a privacy-first approach.
Must have:
  • Investigate generative image/video detection methods
  • Collaborate with researchers
  • Perform deepfake image/video detection research
  • Implement and evaluate ideas using Python and PyTorch
  • Experience in computer vision
Good to have:
  • Published research papers in reputable computer vision venues
  • PhD student in a relevant technical field
  • Proficient in building deep learning models with PyTorch
  • Team player with good communication skills

Job Details

About Reality Defender

Reality Defender provides accurate, multi-modal AI-generated media detection solutions to enable enterprises and governments to identify and prevent fraud, disinformation, and harmful deepfakes in real time. A Y Combinator graduate, Comcast NBCUniversal LIFT Labs alumni, and backed by DCVC, Reality Defender is the first company to pioneer multi-modal and multi-model detection of AI-generated media. Our web app and platform-agnostic API built by our research-forward team ensures that our customers can swiftly and securely mitigate fraud and cybersecurity risks in real time with a frictionless, robust solution.

Youtube: Reality Defender Wins RSA Most Innovative Startup

Why we stand out:

  • Our best-in-class accuracy is derived from our sole, research-backed mission and use of multiple models per modality

  • We can detect AI-generated fraud and disinformation in near- or real time across all modalities including audio, video, image, and text.

  • Our platform is designed for ease of use, featuring a versatile API that integrates seamlessly with any system, an intuitive drag-and-drop web application for quick ad hoc analysis, and platform-agnostic real-time audio detection tailored for call center deployments.

  • We’re privacy first, ensuring the strongest standards of compliance and keeping customer data away from the training of our detection models.

Role and Responsibilities

  • Investigate new methods for generative image/video detection

  • Collaborate with researchers in the team

  • Perform research of deepfake image/video detection

  • Write up results of research for internal reports and submission to academic journals/workshops

  • Independently implement and evaluate ideas on modern deep learning stack - Python, PyTorch, and GPU-enabled cloud compute, like AWS/GCP

About You

  • PhD student in a relevant technical field

  • Experience in computer vision

  • Proficient in Python and in building deep learning models with PyTorch.

  • Published peer-reviewed research papers in reputable computer vision venues, e.g. CVPR, ICCV, NeurIPS

  • Team player with a positive attitude and good communication skills.

  • Excited about our line of work

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About The Company

New York, New York, United States (Remote)

New York, New York, United States (On-Site)

New York, New York, United States (Remote)

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